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Author  |
Shida Beigpour; Christian Riess; Joost Van de Weijer; Elli Angelopoulou | ||||
| Title | Multi-Illuminant Estimation with Conditional Random Fields | Type | Journal Article | ||
| Year | 2014 | Publication | IEEE Transactions on Image Processing | Abbreviated Journal | TIP |
| Volume | 23 | Issue | 1 | Pages | 83-95 |
| Keywords | color constancy; CRF; multi-illuminant | ||||
| Abstract | Most existing color constancy algorithms assume uniform illumination. However, in real-world scenes, this is not often the case. Thus, we propose a novel framework for estimating the colors of multiple illuminants and their spatial distribution in the scene. We formulate this problem as an energy minimization task within a conditional random field over a set of local illuminant estimates. In order to quantitatively evaluate the proposed method, we created a novel data set of two-dominant-illuminant images comprised of laboratory, indoor, and outdoor scenes. Unlike prior work, our database includes accurate pixel-wise ground truth illuminant information. The performance of our method is evaluated on multiple data sets. Experimental results show that our framework clearly outperforms single illuminant estimators as well as a recently proposed multi-illuminant estimation approach. | ||||
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| ISSN | 1057-7149 | ISBN | Medium | ||
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| Notes | CIC; LAMP; 600.074; 600.079 | Approved | no | ||
| Call Number | Admin @ si @ BRW2014 | Serial | 2451 | ||
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| Author |
Shida Beigpour | ||||
| Title | Illumination and object reflectance modeling | Type | Book Whole | ||
| Year | 2013 | Publication | PhD Thesis, Universitat Autonoma de Barcelona-CVC | Abbreviated Journal | |
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| Abstract | More realistic and accurate models of the scene illumination and object reflectance can greatly improve the quality of many computer vision and computer graphics tasks. Using such model, a more profound knowledge about the interaction of light with object surfaces can be established which proves crucial to a variety of computer vision applications. In the current work, we investigate the various existing approaches to illumination and reflectance modeling and form an analysis on their shortcomings in capturing the complexity of real-world scenes. Based on this analysis we propose improvements to different aspects of reflectance and illumination estimation in order to more realistically model the real-world scenes in the presence of complex lighting phenomena (i.e, multiple illuminants, interreflections and shadows). Moreover, we captured our own multi-illuminant dataset which consists of complex scenes and illumination conditions both outdoor and in laboratory conditions. In addition we investigate the use of synthetic data to facilitate the construction of datasets and improve the process of obtaining ground-truth information. | ||||
| Address | Barcelona | ||||
| Corporate Author | Thesis | Ph.D. thesis | |||
| Publisher | Ediciones Graficas Rey | Place of Publication | Editor | Joost Van de Weijer;Ernest Valveny | |
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| Notes | CIC | Approved | no | ||
| Call Number | Admin @ si @ Bei2013 | Serial | 2267 | ||
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| Author |
Shida Beigpour | ||||
| Title | Physics-based Reflectance Estimation Applied to Recoloring | Type | Report | ||
| Year | 2009 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 137 | Issue | Pages | ||
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| Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
| Publisher | Place of Publication | Bellaterra, Barcelona | Editor | ||
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| Notes | CIC | Approved | no | ||
| Call Number | Admin @ si @ Bei2009 | Serial | 2396 | ||
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| Author |
Sandra Jimenez; Xavier Otazu; Valero Laparra; Jesus Malo | ||||
| Title | Chromatic induction and contrast masking: similar models, different goals? | Type | Conference Article | ||
| Year | 2013 | Publication | Human Vision and Electronic Imaging XVIII | Abbreviated Journal | |
| Volume | 8651 | Issue | Pages | ||
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| Abstract | Normalization of signals coming from linear sensors is an ubiquitous mechanism of neural adaptation.1 Local interaction between sensors tuned to a particular feature at certain spatial position and neighbor sensors explains a wide range of psychophysical facts including (1) masking of spatial patterns, (2) non-linearities of motion sensors, (3) adaptation of color perception, (4) brightness and chromatic induction, and (5) image quality assessment. Although the above models have formal and qualitative similarities, it does not necessarily mean that the mechanisms involved are pursuing the same statistical goal. For instance, in the case of chromatic mechanisms (disregarding spatial information), different parameters in the normalization give rise to optimal discrimination or adaptation, and different non-linearities may give rise to error minimization or component independence. In the case of spatial sensors (disregarding color information), a number of studies have pointed out the benefits of masking in statistical independence terms. However, such statistical analysis has not been performed for spatio-chromatic induction models where chromatic perception depends on spatial configuration. In this work we investigate whether successful spatio-chromatic induction models,6 increase component independence similarly as previously reported for masking models. Mutual information analysis suggests that seeking an efficient chromatic representation may explain the prevalence of induction effects in spatially simple images. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only. | ||||
| Address | San Francisco CA; USA; February 2013 | ||||
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| Area | Expedition | Conference | HVEI | ||
| Notes | CIC | Approved | no | ||
| Call Number | Admin @ si @ JOL2013 | Serial | 2240 | ||
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| Author |
Sagnik Das; Hassan Ahmed Sial; Ke Ma; Ramon Baldrich; Maria Vanrell; Dimitris Samaras | ||||
| Title | Intrinsic Decomposition of Document Images In-the-Wild | Type | Conference Article | ||
| Year | 2020 | Publication | 31st British Machine Vision Conference | Abbreviated Journal | |
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| Abstract | Automatic document content processing is affected by artifacts caused by the shape
of the paper, non-uniform and diverse color of lighting conditions. Fully-supervised methods on real data are impossible due to the large amount of data needed. Hence, the current state of the art deep learning models are trained on fully or partially synthetic images. However, document shadow or shading removal results still suffer because: (a) prior methods rely on uniformity of local color statistics, which limit their application on real-scenarios with complex document shapes and textures and; (b) synthetic or hybrid datasets with non-realistic, simulated lighting conditions are used to train the models. In this paper we tackle these problems with our two main contributions. First, a physically constrained learning-based method that directly estimates document reflectance based on intrinsic image formation which generalizes to challenging illumination conditions. Second, a new dataset that clearly improves previous synthetic ones, by adding a large range of realistic shading and diverse multi-illuminant conditions, uniquely customized to deal with documents in-the-wild. The proposed architecture works in two steps. First, a white balancing module neutralizes the color of the illumination on the input image. Based on the proposed multi-illuminant dataset we achieve a good white-balancing in really difficult conditions. Second, the shading separation module accurately disentangles the shading and paper material in a self-supervised manner where only the synthetic texture is used as a weak training signal (obviating the need for very costly ground truth with disentangled versions of shading and reflectance). The proposed approach leads to significant generalization of document reflectance estimation in real scenes with challenging illumination. We extensively evaluate on the real benchmark datasets available for intrinsic image decomposition and document shadow removal tasks. Our reflectance estimation scheme, when used as a pre-processing step of an OCR pipeline, shows a 21% improvement of character error rate (CER), thus, proving the practical applicability. The data and code will be available at: https://github.com/cvlab-stonybrook/DocIIW. |
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| Address | Virtual; September 2020 | ||||
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| Area | Expedition | Conference | BMVC | ||
| Notes | CIC; 600.087; 600.140; 600.118 | Approved | no | ||
| Call Number | Admin @ si @ DSM2020 | Serial | 3461 | ||
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| Author |
Robert Benavente; Ramon Baldrich; M.C. Olive; Maria Vanrell | ||||
| Title | Colour Naming Considering the Colour Variability Problem. | Type | Miscellaneous | ||
| Year | 2000 | Publication | Computacion y Sistemas, 4(1):30–43. | Abbreviated Journal | |
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ BBO2000 | Serial | 242 | ||
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| Author |
Robert Benavente; Maria Vanrell; Ramon Baldrich | ||||
| Title | Estimation of Fuzzy Sets for Computational Colour Categorization | Type | Journal | ||
| Year | 2004 | Publication | Color Research and Application, 29(5):342–353 (IF: 0.739) | Abbreviated Journal | |
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ BVB2004 | Serial | 484 | ||
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| Author |
Robert Benavente; Maria Vanrell; Ramon Baldrich | ||||
| Title | A data set for fuzzy colour naming | Type | Journal | ||
| Year | 2006 | Publication | Color Research & Application, 31(1):48–56 | Abbreviated Journal | |
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ BVB2006 | Serial | 590 | ||
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| Author |
Robert Benavente; Maria Vanrell; Ramon Baldrich | ||||
| Title | Parametric Fuzzy Sets for Automatic Color Naming | Type | Journal | ||
| Year | 2008 | Publication | Journal of the Optical Society of America A | Abbreviated Journal | |
| Volume | 25 | Issue | 10 | Pages | 2582–2593 |
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ BVB2008 | Serial | 1004 | ||
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| Author |
Robert Benavente; Maria Vanrell | ||||
| Title | A colour naming experiment | Type | Report | ||
| Year | 2001 | Publication | CVC Technical Report #56 | Abbreviated Journal | |
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| Address | CVC (UAB) | ||||
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ BeV2001 | Serial | 78 | ||
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| Author |
Robert Benavente; Maria Vanrell | ||||
| Title | Fuzzy Colour Naming Based on Sigmoid Membership Functions. | Type | Miscellaneous | ||
| Year | 2004 | Publication | CGIV 2004 Second European Conference on Colour in Graphics, Imaging and Vision, 135:139 | Abbreviated Journal | |
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| Address | Aachen (Germany) | ||||
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ BeV2004 | Serial | 441 | ||
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| Author |
Robert Benavente; Maria Vanrell | ||||
| Title | Parametrizacion del Espacio de Categorias de Color | Type | Miscellaneous | ||
| Year | 2007 | Publication | Proceedings del VIII Congreso Nacional del Color | Abbreviated Journal | |
| Volume | Issue | Pages | 77–78 | ||
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| Address | Madrid (Spain) | ||||
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| Area | Expedition | Conference | CNC’07 | ||
| Notes | CAT;CIC | Approved | no | ||
| Call Number | CAT @ cat @ BeV2007 | Serial | 905 | ||
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| Author |
Robert Benavente; M.C. Olive; Maria Vanrell; Ramon Baldrich | ||||
| Title | Colour Perception: A Simple Method for Colour Naming. | Type | Miscellaneous | ||
| Year | 1999 | Publication | Abbreviated Journal | ||
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| Address | Girona | ||||
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ BOV1999 | Serial | 47 | ||
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| Author |
Robert Benavente; Laura Igual; Fernando Vilariño | ||||
| Title | Current Challenges in Computer Vision | Type | Book Whole | ||
| Year | 2008 | Publication | Proccedings of the Third Internal Workshop | Abbreviated Journal | |
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| ISSN | ISBN | 978-84-936529-0-6 | Medium | ||
| Area | Expedition | Conference | CVCRD | ||
| Notes | MILAB;CIC;SIAI | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ BIV2008 | Serial | 1110 | ||
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| Author |
Robert Benavente; Gemma Sanchez; Ramon Baldrich; Maria Vanrell; Josep Llados | ||||
| Title | Normalized colour segmentation for human appearance description. | Type | Conference Article | ||
| Year | 2000 | Publication | 15 th International Conference on Pattern Recognition | Abbreviated Journal | |
| Volume | 3 | Issue | Pages | 637-641 | |
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| Address | Barcelona. | ||||
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| Area | Expedition | Conference | ICPR | ||
| Notes | DAG;CIC | Approved | no | ||
| Call Number | CAT @ cat @ BSB2000 | Serial | 223 | ||
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| Author |
Robert Benavente; Francesc Tous; Ramon Baldrich; Maria Vanrell | ||||
| Title | Statical Modelling of a Colour Naming Space. | Type | Miscellaneous | ||
| Year | 2002 | Publication | Proceedings of the 1st. European Conference on Colour in Graphics Imaging and Vision: 406–411. | Abbreviated Journal | |
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ BTB2002 | Serial | 289 | ||
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| Author |
Robert Benavente; Ernest Valveny; Jaume Garcia; Agata Lapedriza; Miquel Ferrer; Gemma Sanchez | ||||
| Title | Una experiencia de adaptacion al EEES de las asignaturas de programacion en Ingenieria Informatica | Type | Miscellaneous | ||
| Year | 2008 | Publication | V Congreso Iberoamericano de Docencia Universitaria, pp. 213–216 | Abbreviated Journal | |
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| Address | Valencia | ||||
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| Notes | OR;DAG;CIC;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ BVG2008 | Serial | 1031 | ||
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| Author |
Robert Benavente; C. Alejandro Parraga; Maria Vanrell | ||||
| Title | Colour categories boundaries are better defined in contextual conditions | Type | Journal Article | ||
| Year | 2009 | Publication | Perception | Abbreviated Journal | PER |
| Volume | 38 | Issue | Pages | 36 | |
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| Abstract | In a previous experiment [Parraga et al, 2009 Journal of Imaging Science and Technology 53(3)] the boundaries between basic colour categories were measured by asking subjects to categorize colour samples presented in isolation (ie on a dark background) using a YES/NO paradigm. Results showed that some boundaries (eg green – blue) were very diffuse and the subjects' answers presented bimodal distributions, which were attributed to the emergence of non-basic categories in those regions (eg turquoise). To confirm these results we performed a new experiment focussed on the boundaries where bimodal distributions were more evident. In this new experiment rectangular colour samples were presented surrounded by random colour patches to simulate contextual conditions on a calibrated CRT monitor. The names of two neighbouring colours were shown at the bottom of the screen and subjects selected the boundary between these colours by controlling the chromaticity of the central patch, sliding it across these categories' frontier. Results show that in this new experimental paradigm, the formerly uncertain inter-colour category boundaries are better defined and the dispersions (ie the bimodal distributions) that occurred in the previous experiment disappear. These results may provide further support to Berlin and Kay's basic colour terms theory. | ||||
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ BPV2009 | Serial | 1192 | ||
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